Results 71 to 80 of about 2,537,738 (252)

Non-destructive evaluation of photostability of crop signaling compounds and dose effects on celery vigor for precision plant identification using computer vision

Computers and Electronics in Agriculture, 2020
Vegetable crops grown in the field are particularly vulnerable to competition from weeds at the seedling stage. To avoid yield loss, weeds must be removed early in the crop cycle.
Wen-Hao Su, D. Slaughter, S. Fennimore
semanticscholar   +1 more source

A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management [PDF]

Computers and Electronics in Agriculture, 2018
In this work we demonstrate a rapidly deployable weed classification system that uses visual data to enable autonomous precision weeding without making prior assumptions about which weed species are present in a given field.
David L. Hall, Feras Dayoub, T. Perez, C. McCool   +3 more
semanticscholar   +1 more source

An Indian annotated weed dataset for computer vision tasks in precision farming

Data in Brief
Weed infestations are the major threat for agriculture sector in India, significantly impacting crop productivity. These invasive plants not only attract pests but also compete with crops for essential nutrients, contributing to an estimated 45 % of the ...
Sayali Shinde, Vahida Attar
semanticscholar   +1 more source

Induction and Enhancement of Bacteriocin Production (Review)

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Conventionally, bacteriocins are produced by microorganisms on complex substrates, released as semi‐purified preparations or crude fermentates. These bacteriocin‐containing products often exhibit unsatisfactory purity, low active‐substance content, and high production costs, limiting their commercialization and use. This review aims to analyze
Oksana Knysh, Artur Martynov
wiley   +1 more source

Evaluation of Inference Performance of Deep Learning Models for Real-Time Weed Detection in an Embedded Computer

Sensors
The knowledge that precision weed control in agricultural fields can reduce waste and increase productivity has led to research into autonomous machines capable of detecting and removing weeds in real time.
Canicius Mwitta, Glen C. Rains, Eric Prostko   +2 more
doaj   +1 more source

Weeding: Alternatif Menjaga Keseimbangan Koleksi Perpustakaan [PDF]

, 2020
Judul Artikel ini adalah weeding: alternatif menjaga keseimbangan koleksi perpustakaan, tujuan makalah ini menjelaskan konsep weeding yang berkaitan dengan kriteria dan hambatan weeding.
Fahrizandi, Fahrizandi
core   +1 more source

Dynamics of biotic resistance to plant invasions

Biological Reviews, EarlyView.
ABSTRACT Biotic resistance, the reduction in invasion success caused by native communities, plays an important role in the long‐term dynamics of biological invasions. A large body of empirical research on biotic resistance has accumulated since the last comprehensive review on the subject 20 years ago, enabling us to achieve a refined understanding of ...
Christine S. Sheppard, Joshua I. Brian, Wayne Dawson, Petr Dostál, Franz Essl, Michal Gruntman, Tina Heger, Mark van Kleunen, Mialy Razanajatovo, Lena C. Reimann, Frank M. Schurr, Montserrat Vilà, Florencia A. Yannelli, Marina Golivets   +13 more
wiley   +1 more source

Technical study on the efficiency and models of weed control methods using unmanned ground vehicles: A review

Artificial Intelligence in Agriculture
As precision agriculture evolves, unmanned ground vehicles (UGVs) have become an essential tool for improving weed management techniques, offering automated and targeted methods that obviously reduce the reliance on manual labor and blanket herbicide ...
Evans K. Wiafe, Kelvin Betitame, Billy G. Ram, Xin Sun   +3 more
doaj   +1 more source

The Role of Solution Business Model Patterns in Digital Agriculture: Linking Business Model Components and Sustainable Outcomes From a Startup Business Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT Digital agriculture is expanding rapidly, yet research has only begun to examine how AgTech startups design and adapt their business models, through digital technologies, in response to technological change and rising sustainability expectations.
Mauro Florez, Isabelle Bourdon, Julian Schirmer, René Eber, Valentina Materia   +4 more
wiley   +1 more source

Eco‐Efficient in Mediterranean Olive Grove Systems: Insights From a Life Cycle Cost Analysis in Southern Portugal

Business Strategy and the Environment, EarlyView.
ABSTRACT This study assesses and compares the eco‐efficiency of six olive production systems in the Alentejo region, southern Portugal, employing a life cycle costing (LCC) approach directly integrated with a prior life cycle assessment (LCA). Although LCC has been increasingly applied to Mediterranean olive‐growing, empirical research in Portugal ...
Rachel Hermeto de Pádua Souza, Rui Fragoso, Carlos Marques, Anna Irene De Luca   +3 more
wiley   +1 more source